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Valgen deliver predictive modeling and insights on which prospects are likely to buy, which customers are likely to leave, and much more.

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Valgen helps users to turn data science into complete advantage for customer success. It works with data and analytics. Valgen approaches to data through five-step analytic process: standardize fields and values to make data ready; apply multi-step matching to eliminate duplicates; retain relevant records, purge the rest; prepare data for analytics and apps; maintain data integrity over the long term.

Valgen can help unlocking business value through enchasing contact information, maintaining company hierarchy and overlaying demographics. Sales productivity can be accelerated with data.com in order to deliver high quality leads within Salesforce so users sales team is selling. Data.com is fully integrated with Salesforce.com, finds new relevant, high-value customers faster and provides fresh data. Valgen uses multi-steps algorithms in order to produce maximum matches with highest accuracy possible.

Data.com can scale business with white space analysis, customer segmentation, territory planning and alignment and lead scoring and routing. When it comes to analytics users can transform data to yield new insights with Valgen and these sales analytics can help to prepare data, predict patterns, and put it in Salesforce. High value customer can be acquired using profiles, segmentation and models by identifying high value prospects that match to most profitable customers.

To achieve these goal users can define ideal customer by revenue, profitability or growth, create and apply analytic profiling to identify top segments and select high value prospects within Salesforce. Maintaining customer renewals is also included. cfTime proactively alerts when customers are ready to buy, generating 12% more orders and 30% more revenue. Thanks to Valgen users can get measurable indicators of pipeline team progress with sales analytics to motivate, improve and streamline productivity based on what works.

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